sin_test2.m

人工神经网络资料

clear all
pi=3.14;
p = 0:0.2:pi*2;
t = sin(p)+0.1*randn(size(p));
net=newff(minmax(p),[20,1],{'tansig','purelin'},'trainbr'); 
net.trainParam.show = 10;
net.trainParam.epochs = 500;
net = init(net);
[net,tr]=train(net,p,t);
p1=0:0.2:pi*2;
Y = sim(net,p1);
figure(1)
plot(p,t,'b',p1,Y,'r');